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2021 | OriginalPaper | Chapter

BehavE: Behaviour Understanding Through Automated Generation of Situation Models

Authors : Teodor Stoev, Kristina Yordanova

Published in: KI 2021: Advances in Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

The chapter introduces BehavE, a methodology for understanding and assisting elderly individuals through situation-aware assistive systems. It addresses the challenge of supporting an aging population by automating the generation of situation models that adapt to individual behaviors and preferences. The methodology combines data from sensors, textual sources, and structured knowledge bases to create comprehensive models. These models enable reasoning about behavior, including goals, errors, and their causes, using Computational Causal Behaviour Models. The chapter also discusses planned experiments using datasets from the domain of patients with dementia to evaluate the approach. It highlights the potential of BehavE to provide personalized support and improve the quality of life for elderly individuals.

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previous chapter Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction

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Title: BehavE: Behaviour Understanding Through Automated Generation of Situation Models
Authors: Teodor Stoev
Kristina Yordanova
Publisher: Springer International Publishing
Book: KI 2021: Advances in Artificial Intelligence
Print ISBN: 978-3-030-87625-8

Electronic ISBN: 978-3-030-87626-5

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-87626-5_27

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